Pandas Profiling Report

Dataset statistics

Number of variables	30
Number of observations	121
Missing cells	119
Missing cells (%)	3.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	28.5 KiB
Average record size in memory	241.1 B

Variable types

Numeric	11
Categorical	19

Alerts

`Unnamed: 0` is highly overall correlated with `fev1`	High correlation
`aecopd_12m` is highly overall correlated with `fev1`	High correlation
`saturation` is highly overall correlated with `fev1`	High correlation
`rr` is highly overall correlated with `fev1`	High correlation
`sbp` is highly overall correlated with `dbp` and 1 other fields	High correlation
`dbp` is highly overall correlated with `sbp` and 1 other fields	High correlation
`hr` is highly overall correlated with `fev1`	High correlation
`temperature` is highly overall correlated with `fev1`	High correlation
`age` is highly overall correlated with `fev1`	High correlation
`bmi` is highly overall correlated with `fev1`	High correlation
`charlson` is highly overall correlated with `fev1` and 1 other fields	High correlation
`death` is highly overall correlated with `death_aecopd` and 1 other fields	High correlation
`death_aecopd` is highly overall correlated with `death` and 1 other fields	High correlation
`sex` is highly overall correlated with `fev1`	High correlation
`season` is highly overall correlated with `fev1`	High correlation
`oedema` is highly overall correlated with `fev1`	High correlation
`retractions` is highly overall correlated with `fev1`	High correlation
`confusion` is highly overall correlated with `fev1`	High correlation
`dyspnoea_yesno` is highly overall correlated with `dyspnoea_mMRC` and 1 other fields	High correlation
`dyspnoea_mMRC` is highly overall correlated with `dyspnoea_yesno` and 1 other fields	High correlation
`fev1` is highly overall correlated with `Unnamed: 0` and 28 other fields	High correlation
`rural` is highly overall correlated with `fev1`	High correlation
`home_care` is highly overall correlated with `fev1`	High correlation
`ami` is highly overall correlated with `fev1`	High correlation
`heart_failure` is highly overall correlated with `fev1`	High correlation
`cbd` is highly overall correlated with `fev1`	High correlation
`pad` is highly overall correlated with `fev1`	High correlation
`dementia` is highly overall correlated with `fev1`	High correlation
`diabetes` is highly overall correlated with `fev1`	High correlation
`cancer` is highly overall correlated with `charlson` and 1 other fields	High correlation
`confusion` is highly imbalanced (79.0%)	Imbalance
`dyspnoea_yesno` is highly imbalanced (71.5%)	Imbalance
`home_care` is highly imbalanced (61.8%)	Imbalance
`ami` is highly imbalanced (58.9%)	Imbalance
`cbd` is highly imbalanced (68.1%)	Imbalance
`pad` is highly imbalanced (61.8%)	Imbalance
`dementia` is highly imbalanced (71.5%)	Imbalance
`fev1` has 118 (97.5%) missing values	Missing
`fev1` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`aecopd_12m` has 25 (20.7%) zeros	Zeros

Reproduction

Analysis started	2023-04-05 17:33:21.642820
Analysis finished	2023-04-05 17:33:34.761620
Duration	13.12 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Unnamed: 0
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	121
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	880.30579

Minimum	1
Maximum	1695
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	64
Q1	434
median	886
Q3	1328
95-th percentile	1633
Maximum	1695
Range	1694
Interquartile range (IQR)	894

Descriptive statistics

Standard deviation	511.45993
Coefficient of variation (CV)	0.58100258
Kurtosis	-1.2965578
Mean	880.30579
Median Absolute Deviation (MAD)	452
Skewness	-0.021287433
Sum	106517
Variance	261591.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.8%
926	1	0.8%
1393	1	0.8%
1390	1	0.8%
1379	1	0.8%
1350	1	0.8%
1328	1	0.8%
1274	1	0.8%
1264	1	0.8%
1261	1	0.8%
Other values (111)	111	91.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
26	1	0.8%
37	1	0.8%
38	1	0.8%
49	1	0.8%
56	1	0.8%
64	1	0.8%
99	1	0.8%
149	1	0.8%
159	1	0.8%

Value	Count	Frequency (%)
1695	1	0.8%
1694	1	0.8%
1691	1	0.8%
1690	1	0.8%
1663	1	0.8%
1655	1	0.8%
1633	1	0.8%
1623	1	0.8%
1616	1	0.8%
1612	1	0.8%

death
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0	104
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	121
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

Most occurring characters

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	121	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	104	86.0%
1	17	14.0%

death_aecopd
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	1
Missing (%)	0.8%
Memory size	1.1 KiB

0.0	105
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	360
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	105	86.8%
1.0	15	12.4%
(Missing)	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	105	87.5%
1.0	15	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	225	62.5%
.	120	33.3%
1	15	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	240	66.7%
Other Punctuation	120	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	225	93.8%
1	15	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	120	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	360	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	225	62.5%
.	120	33.3%
1	15	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	360	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	225	62.5%
.	120	33.3%
1	15	4.2%

sex
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	104
0	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	121
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

Most occurring characters

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	121	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	104	86.0%
0	17	14.0%

season
Categorical

Distinct	4
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0	41
3	34
1	28
2	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	121
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	0
4th row	3
5th row	0

Common Values

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	121	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	121	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	41	33.9%
3	34	28.1%
1	28	23.1%
2	18	14.9%

aecopd_12m
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7190083

Minimum	0
Maximum	6
Zeros	25
Zeros (%)	20.7%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.4561544
Coefficient of variation (CV)	0.84708983
Kurtosis	1.0526948
Mean	1.7190083
Median Absolute Deviation (MAD)	1
Skewness	1.0460704
Sum	208
Variance	2.1203857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	35	28.9%
2	34	28.1%
0	25	20.7%
3	14	11.6%
4	6	5.0%
6	4	3.3%
5	3	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	25	20.7%
1	35	28.9%
2	34	28.1%
3	14	11.6%
4	6	5.0%
5	3	2.5%
6	4	3.3%

Value	Count	Frequency (%)
6	4	3.3%
5	3	2.5%
4	6	5.0%
3	14	11.6%
2	34	28.1%
1	35	28.9%
0	25	20.7%

saturation
Real number (ℝ)

Distinct	27
Distinct (%)	22.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.719008

Minimum	60
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	60
5-th percentile	75
Q1	88
median	92
Q3	93
95-th percentile	97
Maximum	99
Range	39
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	6.686084
Coefficient of variation (CV)	0.074522491
Kurtosis	5.3048206
Mean	89.719008
Median Absolute Deviation (MAD)	2
Skewness	-2.038006
Sum	10856
Variance	44.703719
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
92	23	19.0%
93	17	14.0%
91	10	8.3%
94	7	5.8%
95	7	5.8%
89	6	5.0%
88	6	5.0%
90	6	5.0%
98	5	4.1%
86	5	4.1%
Other values (17)	29	24.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	1	0.8%
62	1	0.8%
70	1	0.8%
72	1	0.8%
75	3	2.5%
76	1	0.8%
78	1	0.8%
80	3	2.5%
81	1	0.8%
82	1	0.8%

Value	Count	Frequency (%)
99	1	0.8%
98	5	4.1%
97	2	1.7%
96	4	3.3%
95	7	5.8%
94	7	5.8%
93	17	14.0%
92	23	19.0%
91	10	8.3%
90	6	5.0%

rr
Real number (ℝ)

Distinct	16
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.115702

Minimum	12
Maximum	40
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	12
5-th percentile	15
Q1	22
median	22
Q3	22
95-th percentile	30
Maximum	40
Range	28
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.713792
Coefficient of variation (CV)	0.21314231
Kurtosis	4.3958096
Mean	22.115702
Median Absolute Deviation (MAD)	0
Skewness	1.1926443
Sum	2676
Variance	22.219835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
22	80	66.1%
15	6	5.0%
24	6	5.0%
20	4	3.3%
12	4	3.3%
28	4	3.3%
36	3	2.5%
18	3	2.5%
40	2	1.7%
16	2	1.7%
Other values (6)	7	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	4	3.3%
13	1	0.8%
14	1	0.8%
15	6	5.0%
16	2	1.7%
18	3	2.5%
20	4	3.3%
21	1	0.8%
22	80	66.1%
24	6	5.0%

Value	Count	Frequency (%)
40	2	1.7%
36	3	2.5%
34	1	0.8%
30	2	1.7%
28	4	3.3%
26	1	0.8%
24	6	5.0%
22	80	66.1%
21	1	0.8%
20	4	3.3%

sbp
Real number (ℝ)

Distinct	57
Distinct (%)	47.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	134.81818

Minimum	77
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	77
5-th percentile	100
Q1	123
median	135
Q3	145
95-th percentile	170
Maximum	190
Range	113
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	20.770973
Coefficient of variation (CV)	0.15406656
Kurtosis	0.4545202
Mean	134.81818
Median Absolute Deviation (MAD)	12
Skewness	0.057737456
Sum	16313
Variance	431.43333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135	12	9.9%
140	8	6.6%
120	5	4.1%
132	5	4.1%
142	5	4.1%
130	5	4.1%
150	4	3.3%
115	4	3.3%
128	4	3.3%
110	3	2.5%
Other values (47)	66	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
77	1	0.8%
90	1	0.8%
92	1	0.8%
93	1	0.8%
96	2	1.7%
100	3	2.5%
104	1	0.8%
107	1	0.8%
109	1	0.8%
110	3	2.5%

Value	Count	Frequency (%)
190	1	0.8%
186	1	0.8%
183	1	0.8%
181	1	0.8%
180	1	0.8%
172	1	0.8%
170	1	0.8%
165	1	0.8%
164	1	0.8%
163	2	1.7%

dbp
Real number (ℝ)

Distinct	46
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.123967

Minimum	30
Maximum	103
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	30
5-th percentile	48
Q1	61
median	70
Q3	80
95-th percentile	95
Maximum	103
Range	73
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	13.763218
Coefficient of variation (CV)	0.19351027
Kurtosis	-0.054626537
Mean	71.123967
Median Absolute Deviation (MAD)	10
Skewness	0.0073421124
Sum	8606
Variance	189.42617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
70	15	12.4%
60	12	9.9%
80	7	5.8%
75	6	5.0%
76	4	3.3%
71	4	3.3%
78	4	3.3%
64	4	3.3%
67	4	3.3%
54	3	2.5%
Other values (36)	58	47.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.8%
44	1	0.8%
46	2	1.7%
47	1	0.8%
48	3	2.5%
51	1	0.8%
52	2	1.7%
54	3	2.5%
55	1	0.8%
56	1	0.8%

Value	Count	Frequency (%)
103	1	0.8%
102	1	0.8%
100	1	0.8%
96	1	0.8%
95	3	2.5%
94	1	0.8%
93	2	1.7%
90	3	2.5%
89	1	0.8%
88	2	1.7%

hr
Real number (ℝ)

Distinct	58
Distinct (%)	47.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.305785

Minimum	50
Maximum	155
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	50
5-th percentile	60
Q1	73
median	83
Q3	99
95-th percentile	115
Maximum	155
Range	105
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.050741
Coefficient of variation (CV)	0.22073538
Kurtosis	0.88584777
Mean	86.305785
Median Absolute Deviation (MAD)	12
Skewness	0.72353323
Sum	10443
Variance	362.93072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	6	5.0%
76	5	4.1%
82	5	4.1%
83	5	4.1%
75	4	3.3%
102	4	3.3%
72	4	3.3%
86	4	3.3%
109	4	3.3%
78	4	3.3%
Other values (48)	76	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	2	1.7%
51	1	0.8%
52	1	0.8%
56	1	0.8%
58	1	0.8%
60	1	0.8%
61	1	0.8%
63	2	1.7%
64	2	1.7%
66	1	0.8%

Value	Count	Frequency (%)
155	1	0.8%
138	1	0.8%
132	1	0.8%
131	1	0.8%
128	1	0.8%
120	1	0.8%
115	2	1.7%
114	2	1.7%
112	1	0.8%
110	2	1.7%

temperature
Real number (ℝ)

Distinct	35
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	312.98347

Minimum	35
Maximum	388
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	35
5-th percentile	36
Q1	356
median	362
Q3	366
95-th percentile	379
Maximum	388
Range	353
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	120.25279
Coefficient of variation (CV)	0.3842145
Kurtosis	1.6404438
Mean	312.98347
Median Absolute Deviation (MAD)	5
Skewness	-1.8928035
Sum	37871
Variance	14460.733
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
362	35	28.9%
36	13	10.7%
365	8	6.6%
368	5	4.1%
355	5	4.1%
366	4	3.3%
35	3	2.5%
359	3	2.5%
373	3	2.5%
357	3	2.5%
Other values (25)	39	32.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35	3	2.5%
36	13	10.7%
37	2	1.7%
38	1	0.8%
341	1	0.8%
347	1	0.8%
351	1	0.8%
353	2	1.7%
354	1	0.8%
355	5	4.1%

Value	Count	Frequency (%)
388	2	1.7%
386	1	0.8%
385	1	0.8%
383	1	0.8%
381	1	0.8%
379	1	0.8%
377	2	1.7%
376	2	1.7%
375	2	1.7%
374	1	0.8%

oedema
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	89
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	89	73.6%
1.0	32	26.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	89	73.6%
1.0	32	26.4%

Most occurring characters

Value	Count	Frequency (%)
0	210	57.9%
.	121	33.3%
1	32	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	210	86.8%
1	32	13.2%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	210	57.9%
.	121	33.3%
1	32	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	210	57.9%
.	121	33.3%
1	32	8.8%

retractions
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	103
1.0	18

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	103	85.1%
1.0	18	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	103	85.1%
1.0	18	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	224	61.7%
.	121	33.3%
1	18	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	224	92.6%
1	18	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	224	61.7%
.	121	33.3%
1	18	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	224	61.7%
.	121	33.3%
1	18	5.0%

confusion
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	117
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	117	96.7%
1.0	4	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	117	96.7%
1.0	4	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	238	65.6%
.	121	33.3%
1	4	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	238	98.3%
1	4	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	238	65.6%
.	121	33.3%
1	4	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	238	65.6%
.	121	33.3%
1	4	1.1%

dyspnoea_yesno
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	115
0.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	115	95.0%
0.0	6	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	115	95.0%
0.0	6	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
1	115	31.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	127	52.5%
1	115	47.5%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
1	115	31.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
1	115	31.7%

dyspnoea_mMRC
Categorical

Distinct	5
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

4.0	81
2.0	15
3.0	13
1.0	6
0.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	4.0
3rd row	1.0
4th row	0.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
4.0	81	66.9%
2.0	15	12.4%
3.0	13	10.7%
1.0	6	5.0%
0.0	6	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	81	66.9%
2.0	15	12.4%
3.0	13	10.7%
1.0	6	5.0%
0.0	6	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
4	81	22.3%
2	15	4.1%
3	13	3.6%
1	6	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	127	52.5%
4	81	33.5%
2	15	6.2%
3	13	5.4%
1	6	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
4	81	22.3%
2	15	4.1%
3	13	3.6%
1	6	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	127	35.0%
.	121	33.3%
4	81	22.3%
2	15	4.1%
3	13	3.6%
1	6	1.7%

age
Real number (ℝ)

Distinct	36
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.859504

Minimum	52
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	52
5-th percentile	62
Q1	71
median	80
Q3	85
95-th percentile	89
Maximum	93
Range	41
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.7371866
Coefficient of variation (CV)	0.11221734
Kurtosis	-0.2836894
Mean	77.859504
Median Absolute Deviation (MAD)	6
Skewness	-0.67125147
Sum	9421
Variance	76.33843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
80	12	9.9%
87	9	7.4%
83	8	6.6%
79	7	5.8%
85	7	5.8%
81	6	5.0%
88	5	4.1%
68	5	4.1%
84	4	3.3%
86	4	3.3%
Other values (26)	54	44.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
52	1	0.8%
58	1	0.8%
59	1	0.8%
60	2	1.7%
61	1	0.8%
62	2	1.7%
63	3	2.5%
64	1	0.8%
65	1	0.8%
66	2	1.7%

Value	Count	Frequency (%)
93	1	0.8%
92	1	0.8%
90	3	2.5%
89	2	1.7%
88	5	4.1%
87	9	7.4%
86	4	3.3%
85	7	5.8%
84	4	3.3%
83	8	6.6%

fev1
Categorical

HIGH CORRELATION MISSING UNIFORM

Distinct	3
Distinct (%)	100.0%
Missing	118
Missing (%)	97.5%
Memory size	1.1 KiB

568.0	1
69.0	1
52.0	1

Length

Max length	5
Median length	4
Mean length	4.3333333
Min length	4

Characters and Unicode

Total characters	13
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	568.0
2nd row	69.0
3rd row	52.0

Common Values

Value	Count	Frequency (%)
568.0	1	0.8%
69.0	1	0.8%
52.0	1	0.8%
(Missing)	118	97.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
568.0	1	33.3%
69.0	1	33.3%
52.0	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
.	3	23.1%
0	3	23.1%
5	2	15.4%
6	2	15.4%
8	1	7.7%
9	1	7.7%
2	1	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10	76.9%
Other Punctuation	3	23.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3	30.0%
5	2	20.0%
6	2	20.0%
8	1	10.0%
9	1	10.0%
2	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	3	23.1%
0	3	23.1%
5	2	15.4%
6	2	15.4%
8	1	7.7%
9	1	7.7%
2	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	3	23.1%
0	3	23.1%
5	2	15.4%
6	2	15.4%
8	1	7.7%
9	1	7.7%
2	1	7.7%

bmi
Real number (ℝ)

Distinct	73
Distinct (%)	60.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2734.2066

Minimum	162
Maximum	4043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	162
5-th percentile	1931
Q1	2557
median	2747
Q3	2973
95-th percentile	3769
Maximum	4043
Range	3881
Interquartile range (IQR)	416

Descriptive statistics

Standard deviation	623.4246
Coefficient of variation (CV)	0.22800932
Kurtosis	6.4284072
Mean	2734.2066
Median Absolute Deviation (MAD)	205
Skewness	-1.6584913
Sum	330839
Variance	388658.23
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2747	39	32.2%
2726	2	1.7%
3225	2	1.7%
3881	2	1.7%
2976	2	1.7%
2371	2	1.7%
1896	2	1.7%
3052	2	1.7%
2956	2	1.7%
2231	2	1.7%
Other values (63)	64	52.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
162	1	0.8%
264	1	0.8%
277	1	0.8%
426	1	0.8%
1896	2	1.7%
1931	2	1.7%
2081	1	0.8%
2218	1	0.8%
2231	2	1.7%
2239	1	0.8%

Value	Count	Frequency (%)
4043	1	0.8%
3881	2	1.7%
3816	1	0.8%
3791	1	0.8%
3781	1	0.8%
3769	1	0.8%
3668	1	0.8%
3639	1	0.8%
3618	1	0.8%
3583	1	0.8%

rural
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	64
1.0	57

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	64	52.9%
1.0	57	47.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	64	52.9%
1.0	57	47.1%

Most occurring characters

Value	Count	Frequency (%)
0	185	51.0%
.	121	33.3%
1	57	15.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	185	76.4%
1	57	23.6%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	185	51.0%
.	121	33.3%
1	57	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	185	51.0%
.	121	33.3%
1	57	15.7%

home_care
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	112
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	112	92.6%
1.0	9	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	112	92.6%
1.0	9	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	233	96.3%
1	9	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

charlson
Real number (ℝ)

Distinct	8
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4545455

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	8
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.1447611
Coefficient of variation (CV)	0.87379154
Kurtosis	4.2049917
Mean	2.4545455
Median Absolute Deviation (MAD)	1
Skewness	2.0860834
Sum	297
Variance	4.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	52	43.0%
2	34	28.1%
3	14	11.6%
4	8	6.6%
8	8	6.6%
7	3	2.5%
12	1	0.8%
6	1	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	52	43.0%
2	34	28.1%
3	14	11.6%
4	8	6.6%
6	1	0.8%
7	3	2.5%
8	8	6.6%
12	1	0.8%

Value	Count	Frequency (%)
12	1	0.8%
8	8	6.6%
7	3	2.5%
6	1	0.8%
4	8	6.6%
3	14	11.6%
2	34	28.1%
1	52	43.0%

ami
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	111
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	111	91.7%
1.0	10	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	111	91.7%
1.0	10	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	232	63.9%
.	121	33.3%
1	10	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	232	95.9%
1	10	4.1%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	232	63.9%
.	121	33.3%
1	10	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	232	63.9%
.	121	33.3%
1	10	2.8%

heart_failure
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	106
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	106	87.6%
1.0	15	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	106	87.6%
1.0	15	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	227	62.5%
.	121	33.3%
1	15	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	227	93.8%
1	15	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	227	62.5%
.	121	33.3%
1	15	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	227	62.5%
.	121	33.3%
1	15	4.1%

cbd
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	114
1.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	114	94.2%
1.0	7	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	114	94.2%
1.0	7	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	235	64.7%
.	121	33.3%
1	7	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	235	97.1%
1	7	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	235	64.7%
.	121	33.3%
1	7	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	235	64.7%
.	121	33.3%
1	7	1.9%

pad
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	112
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	112	92.6%
1.0	9	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	112	92.6%
1.0	9	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	233	96.3%
1	9	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	233	64.2%
.	121	33.3%
1	9	2.5%

dementia
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	115
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	115	95.0%
1.0	6	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115	95.0%
1.0	6	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	236	65.0%
.	121	33.3%
1	6	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	236	97.5%
1	6	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	236	65.0%
.	121	33.3%
1	6	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	236	65.0%
.	121	33.3%
1	6	1.7%

diabetes
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	92
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	92	76.0%
1.0	29	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	92	76.0%
1.0	29	24.0%

Most occurring characters

Value	Count	Frequency (%)
0	213	58.7%
.	121	33.3%
1	29	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	213	88.0%
1	29	12.0%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	213	58.7%
.	121	33.3%
1	29	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	213	58.7%
.	121	33.3%
1	29	8.0%

cancer
Categorical

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	107
1.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	363
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	107	88.4%
1.0	14	11.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	107	88.4%
1.0	14	11.6%

Most occurring characters

Value	Count	Frequency (%)
0	228	62.8%
.	121	33.3%
1	14	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	242	66.7%
Other Punctuation	121	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	228	94.2%
1	14	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	363	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	228	62.8%
.	121	33.3%
1	14	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	228	62.8%
.	121	33.3%
1	14	3.9%

Auto

Heatmap
Table

	Unnamed: 0	aecopd_12m	saturation	rr	sbp	dbp	hr	temperature	age	bmi	charlson	death	death_aecopd	sex	season	oedema	retractions	confusion	dyspnoea_yesno	dyspnoea_mMRC	fev1	rural	home_care	ami	heart_failure	cbd	pad	dementia	diabetes	cancer
Unnamed: 0	1.000	0.034	0.010	0.091	0.123	0.176	0.163	-0.004	-0.081	-0.108	-0.056	0.258	0.323	0.302	0.000	0.000	0.193	0.194	0.176	0.000	1.000	0.056	0.000	0.000	0.313	0.078	0.134	0.350	0.000	0.000
aecopd_12m	0.034	1.000	-0.043	-0.015	-0.055	-0.108	0.006	-0.172	0.177	-0.134	-0.041	0.362	0.293	0.045	0.083	0.000	0.098	0.000	0.000	0.000	1.000	0.112	0.060	0.000	0.127	0.000	0.099	0.000	0.000	0.000
saturation	0.010	-0.043	1.000	-0.280	-0.072	0.019	-0.343	-0.077	0.059	-0.064	-0.008	0.362	0.391	0.000	0.000	0.150	0.262	0.493	0.000	0.109	1.000	0.000	0.244	0.000	0.000	0.000	0.000	0.000	0.015	0.074
rr	0.091	-0.015	-0.280	1.000	0.022	-0.069	0.109	0.070	0.159	0.040	-0.128	0.000	0.000	0.000	0.067	0.117	0.462	0.107	0.182	0.268	1.000	0.000	0.000	0.000	0.000	0.280	0.000	0.088	0.221	0.000
sbp	0.123	-0.055	-0.072	0.022	1.000	0.585	0.180	-0.118	-0.171	0.004	-0.084	0.158	0.185	0.183	0.000	0.168	0.174	0.000	0.000	0.000	1.000	0.000	0.000	0.066	0.186	0.253	0.000	0.000	0.000	0.280
dbp	0.176	-0.108	0.019	-0.069	0.585	1.000	0.188	-0.057	-0.328	0.091	-0.219	0.229	0.217	0.000	0.000	0.200	0.315	0.000	0.000	0.000	1.000	0.148	0.000	0.000	0.127	0.165	0.000	0.164	0.159	0.000
hr	0.163	0.006	-0.343	0.109	0.180	0.188	1.000	0.197	-0.180	0.078	0.011	0.100	0.175	0.000	0.122	0.160	0.375	0.000	0.000	0.000	1.000	0.000	0.000	0.073	0.000	0.000	0.000	0.378	0.182	0.258
temperature	-0.004	-0.172	-0.077	0.070	-0.118	-0.057	0.197	1.000	-0.172	0.002	-0.048	0.000	0.000	0.000	0.129	0.000	0.000	0.119	0.000	0.000	1.000	0.095	0.035	0.000	0.000	0.000	0.035	0.294	0.000	0.000
age	-0.081	0.177	0.059	0.159	-0.171	-0.328	-0.180	-0.172	1.000	-0.215	0.086	0.000	0.000	0.000	0.039	0.000	0.147	0.000	0.000	0.000	1.000	0.000	0.000	0.192	0.183	0.192	0.119	0.237	0.066	0.000
bmi	-0.108	-0.134	-0.064	0.040	0.004	0.091	0.078	0.002	-0.215	1.000	0.094	0.000	0.000	0.103	0.000	0.119	0.000	0.139	0.000	0.047	1.000	0.000	0.061	0.082	0.191	0.271	0.000	0.055	0.159	0.072
charlson	-0.056	-0.041	-0.008	-0.128	-0.084	-0.219	0.011	-0.048	0.086	0.094	1.000	0.000	0.000	0.000	0.222	0.068	0.000	0.000	0.338	0.233	1.000	0.168	0.000	0.349	0.000	0.475	0.320	0.210	0.316	0.914
death	0.258	0.362	0.362	0.000	0.158	0.229	0.100	0.000	0.000	0.000	0.000	1.000	0.926	0.000	0.000	0.000	0.000	0.085	0.000	0.158	1.000	0.076	0.000	0.025	0.042	0.000	0.000	0.000	0.000	0.000
death_aecopd	0.323	0.293	0.391	0.000	0.185	0.217	0.175	0.000	0.000	0.000	0.000	0.926	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.127	1.000	0.000	0.000	0.068	0.084	0.000	0.000	0.000	0.000	0.000
sex	0.302	0.045	0.000	0.000	0.183	0.000	0.000	0.000	0.000	0.103	0.000	0.000	0.000	1.000	0.122	0.000	0.000	0.000	0.000	0.089	1.000	0.000	0.065	0.157	0.000	0.000	0.000	0.000	0.000	0.000
season	0.000	0.083	0.000	0.067	0.000	0.000	0.122	0.129	0.039	0.000	0.222	0.000	0.000	0.122	1.000	0.102	0.000	0.000	0.140	0.115	1.000	0.080	0.000	0.000	0.000	0.000	0.000	0.000	0.093	0.000
oedema	0.000	0.000	0.150	0.117	0.168	0.200	0.160	0.000	0.000	0.119	0.068	0.000	0.000	0.000	0.102	1.000	0.000	0.121	0.022	0.117	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.092
retractions	0.193	0.098	0.262	0.462	0.174	0.315	0.375	0.000	0.147	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	1.000	0.012	0.000	0.000	0.000	0.000	0.000	0.000	0.077	0.000
confusion	0.194	0.000	0.493	0.107	0.000	0.000	0.000	0.119	0.000	0.139	0.000	0.085	0.000	0.000	0.000	0.121	0.000	1.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
dyspnoea_yesno	0.176	0.000	0.000	0.182	0.000	0.000	0.000	0.000	0.000	0.000	0.338	0.000	0.000	0.000	0.140	0.022	0.000	0.000	1.000	0.987	1.000	0.000	0.000	0.000	0.000	0.165	0.000	0.000	0.000	0.195
dyspnoea_mMRC	0.000	0.000	0.109	0.268	0.000	0.000	0.000	0.000	0.000	0.047	0.233	0.158	0.127	0.089	0.115	0.117	0.000	0.000	0.987	1.000	1.000	0.203	0.000	0.088	0.000	0.249	0.000	0.000	0.113	0.245
fev1	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
rural	0.056	0.112	0.000	0.000	0.000	0.148	0.000	0.095	0.000	0.000	0.168	0.076	0.000	0.000	0.080	0.000	0.012	0.000	0.000	0.203	1.000	1.000	0.000	0.000	0.204	0.127	0.000	0.090	0.222	0.120
home_care	0.000	0.060	0.244	0.000	0.000	0.000	0.000	0.035	0.000	0.061	0.000	0.000	0.000	0.065	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	1.000	0.000	0.000	0.000	0.201	0.000	0.000	0.000
ami	0.000	0.000	0.000	0.000	0.066	0.000	0.073	0.000	0.192	0.082	0.349	0.025	0.068	0.157	0.000	0.000	0.000	0.000	0.000	0.088	1.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000
heart_failure	0.313	0.127	0.000	0.000	0.186	0.127	0.000	0.000	0.183	0.191	0.000	0.042	0.084	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.204	0.000	0.000	1.000	0.000	0.000	0.000	0.083	0.000
cbd	0.078	0.000	0.000	0.280	0.253	0.165	0.000	0.000	0.192	0.271	0.475	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.165	0.249	1.000	0.127	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.285
pad	0.134	0.099	0.000	0.000	0.000	0.000	0.000	0.035	0.119	0.000	0.320	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.201	0.000	0.000	0.000	1.000	0.000	0.000	0.000
dementia	0.350	0.000	0.000	0.088	0.000	0.164	0.378	0.294	0.237	0.055	0.210	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.090	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000
diabetes	0.000	0.000	0.015	0.221	0.000	0.159	0.182	0.000	0.066	0.159	0.316	0.000	0.000	0.000	0.093	0.000	0.077	0.000	0.000	0.113	1.000	0.222	0.000	0.000	0.083	0.000	0.000	0.000	1.000	0.000
cancer	0.000	0.000	0.074	0.000	0.280	0.000	0.258	0.000	0.000	0.072	0.914	0.000	0.000	0.000	0.000	0.092	0.000	0.000	0.195	0.245	1.000	0.120	0.000	0.000	0.000	0.285	0.000	0.000	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Unnamed: 0	sex	season	aecopd_12m	saturation	rr	sbp	dbp	hr	temperature	oedema	retractions	confusion	dyspnoea_yesno	dyspnoea_mMRC	age	fev1	bmi	rural	home_care	charlson	ami	pad	dementia	diabetes	cancer
0	1	1	3	1	92.0	26.0	124.0	62.0	69.0	35.0	1.0	0.0	0.0	1.0	2.0	85.0	NaN	2917.0	0.0	0.0	4.0	0.0	0.0	1.0	1.0	0.0
1	26	1	3	0	87.0	20.0	147.0	82.0	102.0	36.0	1.0	0.0	0.0	1.0	4.0	83.0	NaN	3241.0	0.0	0.0	3.0	1.0	0.0	0.0	0.0	0.0
2	37	1	0	3	94.0	22.0	115.0	75.0	58.0	362.0	0.0	0.0	0.0	1.0	1.0	81.0	NaN	2747.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
3	38	1	3	2	92.0	15.0	130.0	75.0	82.0	362.0	0.0	0.0	0.0	0.0	0.0	81.0	NaN	2747.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
4	49	1	0	0	92.0	22.0	143.0	60.0	68.0	362.0	0.0	0.0	0.0	1.0	2.0	74.0	NaN	2635.0	0.0	0.0	2.0	0.0	1.0	0.0	0.0	0.0
5	64	1	0	0	70.0	22.0	123.0	46.0	51.0	362.0	1.0	0.0	1.0	1.0	2.0	79.0	NaN	426.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
6	99	1	3	0	89.0	40.0	165.0	95.0	114.0	381.0	0.0	0.0	0.0	1.0	4.0	80.0	NaN	2747.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0
7	149	1	1	1	87.0	22.0	145.0	71.0	90.0	365.0	1.0	0.0	0.0	1.0	4.0	66.0	NaN	3668.0	0.0	0.0	2.0	0.0	0.0	0.0	1.0	0.0
8	159	1	3	1	93.0	22.0	120.0	51.0	61.0	373.0	0.0	0.0	0.0	1.0	4.0	90.0	NaN	2747.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
9	220	1	0	0	83.0	22.0	158.0	88.0	76.0	366.0	0.0	1.0	0.0	1.0	4.0	68.0	NaN	3105.0	1.0	0.0	7.0	0.0	0.0	0.0	0.0	1.0

	Unnamed: 0	death	death_aecopd	sex	season	aecopd_12m	saturation	rr	sbp	dbp	hr	temperature	oedema	retractions	confusion	dyspnoea_yesno	dyspnoea_mMRC	age	fev1	bmi	rural	home_care	charlson	ami	heart_failure	cbd	pad	diabetes	cancer
111	719	1	NaN	1	1	4	95.0	22.0	135.0	70.0	68.0	365.0	0.0	0.0	0.0	1.0	4.0	90.0	NaN	2747.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0
112	1187	1	1.0	1	2	4	92.0	22.0	135.0	70.0	83.0	362.0	0.0	0.0	0.0	1.0	4.0	76.0	NaN	2747.0	1.0	1.0	2.0	0.0	0.0	1.0	0.0	0.0	0.0
113	1308	1	1.0	1	1	0	92.0	22.0	135.0	70.0	83.0	362.0	0.0	0.0	0.0	1.0	4.0	81.0	NaN	2747.0	1.0	0.0	4.0	1.0	0.0	0.0	0.0	0.0	1.0
114	1324	1	1.0	1	3	2	92.0	22.0	140.0	60.0	110.0	362.0	1.0	0.0	0.0	1.0	4.0	79.0	NaN	2338.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0
115	1380	1	1.0	1	1	1	75.0	22.0	77.0	44.0	115.0	362.0	0.0	1.0	0.0	1.0	4.0	77.0	NaN	2747.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0
116	1601	1	1.0	1	1	2	76.0	22.0	130.0	60.0	72.0	362.0	0.0	0.0	0.0	1.0	4.0	86.0	NaN	2218.0	0.0	0.0	4.0	0.0	0.0	0.0	0.0	1.0	1.0
117	1609	1	1.0	1	3	1	75.0	22.0	115.0	69.0	86.0	356.0	0.0	0.0	1.0	1.0	4.0	87.0	NaN	2747.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0
118	1633	1	1.0	1	3	2	95.0	22.0	135.0	70.0	78.0	362.0	0.0	0.0	0.0	1.0	4.0	80.0	NaN	2747.0	1.0	0.0	8.0	0.0	1.0	0.0	0.0	0.0	1.0
119	1655	1	1.0	1	3	3	91.0	22.0	135.0	70.0	88.0	362.0	0.0	0.0	0.0	1.0	3.0	81.0	NaN	2747.0	0.0	1.0	3.0	1.0	0.0	0.0	1.0	0.0	0.0
120	1694	1	1.0	1	0	2	92.0	24.0	110.0	67.0	56.0	375.0	1.0	0.0	0.0	1.0	4.0	84.0	NaN	2747.0	1.0	0.0	2.0	0.0	1.0	0.0	0.0	0.0	0.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common